Wen‐Chih Wu

19 papers and 239 indexed citations i.

About

Wen‐Chih Wu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Wen‐Chih Wu has authored 19 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in Wen‐Chih Wu’s work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and HIV-related health complications and treatments (3 papers). Wen‐Chih Wu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and HIV-related health complications and treatments (3 papers). Wen‐Chih Wu collaborates with scholars based in United States, Taiwan and China. Wen‐Chih Wu's co-authors include Karl T. Kelsey, Stephanie Kim, Devin C. Koestler, Melissa Eliot, Adolfo Correa, Mary E. Lacy, Emily C. Gathright, James L. Rudolph, Sean Lee and Paul A. Pirraglia and has published in prestigious journals such as American Heart Journal, JAMA Internal Medicine and JAMA Cardiology.

In The Last Decade

Co-authorship network of co-authors of Wen‐Chih Wu i

Fields of papers citing papers by Wen‐Chih Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Chih Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wen‐Chih Wu. The network helps show where Wen‐Chih Wu may publish in the future.

Countries citing papers authored by Wen‐Chih Wu

Since Specialization
Citations

This map shows the geographic impact of Wen‐Chih Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wen‐Chih Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Chih Wu more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025